Hi

I’m trying to fit multiple linear regression model with a quantitive predictor (has multiple values). Now in this exercise it was a matter of plugging the values in the linear regression model and plotting it.

Whenever I try to do the same in my project, I get the following error:

```
sns.lmplot(x= 'children', y= 'charges', data=insurance, fit_reg= False)
plt.plot(insurance.charges, model.params[0] + model.params[1]*0)
plt.plot(insurance.charges, model.params[0] + model.params[1]*1)
plt.show()
ValueError: x and y must have same first dimension, but have shapes (1338,) and (1,)
```

I tried converting datatypes and it didn’t work. Any suggestions?